Residential College | false |
Status | 已發表Published |
SCMA Spectral and Energy Efficiency with QoS | |
Samira Jaber1![]() ![]() | |
2020-12 | |
Conference Name | 2020 IEEE Global Communications Conference, GLOBECOM 2020 |
Source Publication | 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
![]() |
Conference Date | 07-11 December 2020 |
Conference Place | Taipei, China |
Country | China |
Publisher | IEEE |
Abstract | Sparse code multiple access (SCMA) is one of the promising candidates for new radio access interface. The new generation communication system is expected to support massive user access with high capacity. However, there are numerous problems and barriers to achieve optimal performance, e.g., the multiuser interference and high power consumption. In this paper, we present optimization methods to enhance the spectral and energy efficiency for SCMA with individual rate requirements. The proposed method has shown a better network mapping matrix based on power allocation and codebook assignment. Moreover, the proposed method is compared with orthogonal frequency division multiple access (OFDMA) and code division multiple access (CDMA) in terms of spectral efficiency (SE) and energy efficiency (EE) respectively. Simulation results show that SCMA performs better than OFDMA and CDMA both in SE and EE. |
Keyword | Dual Method Energy Efficiency Qos Scma Spectral Efficiency |
DOI | 10.1109/GLOBECOM42002.2020.9322571 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science ; Telecommunications |
WOS Subject | Computer Science, Artificial Intelligence ; Telecommunications |
WOS ID | WOS:000668970503030 |
Scopus ID | 2-s2.0-85100377649 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Corresponding Author | Samira Jaber |
Affiliation | 1.Shanghai Institute of Advanced Communications and Data Sciences Department of Elecronic Engineering, Shanghai Jiao Tong University, China 2.Shool of Information Sciences and Technology, ShanghaiTech University, China 3.Department of Electrical and Computer Engineering, University of Macau, China |
Recommended Citation GB/T 7714 | Samira Jaber,Wen Chen,Kunlun Wang,et al. SCMA Spectral and Energy Efficiency with QoS[C]:IEEE, 2020. |
APA | Samira Jaber., Wen Chen., Kunlun Wang., & Qingqing Wu (2020). SCMA Spectral and Energy Efficiency with QoS. 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment